Class: OpenAI::Models::FineTuning::Alpha::GraderRunParams

Inherits:

Internal::Type::BaseModel

• Object
• Internal::Type::BaseModel
• OpenAI::Models::FineTuning::Alpha::GraderRunParams

Extended by:

Internal::Type::RequestParameters::Converter

Includes:

Internal::Type::RequestParameters

Defined in:

lib/openai/models/fine_tuning/alpha/grader_run_params.rb

Overview

See Also:

• Resources::FineTuning::Alpha::Graders#run

Defined Under Namespace

Modules: Grader

Instance Attribute Summary

• #grader ⇒ OpenAI::Models::Graders::StringCheckGrader, ...

  The grader used for the fine-tuning job.

• #item ⇒ Object^?

  The dataset item provided to the grader.

• #model_sample ⇒ String

  The model sample to be evaluated.

Attributes included from Internal::Type::RequestParameters

#request_options

Instance Method Summary

• #initialize(grader: , model_sample: , item: nil, request_options: {}) ⇒ Object constructor

  Some parameter documentations has been truncated, see GraderRunParams for more details.

Methods included from Internal::Type::RequestParameters::Converter

dump_request

Methods included from Internal::Type::RequestParameters

included

Methods inherited from Internal::Type::BaseModel

==, #==, #[], coerce, #deconstruct_keys, #deep_to_h, dump, fields, hash, #hash, inherited, inspect, #inspect, known_fields, optional, recursively_to_h, required, #to_h, #to_json, #to_s, to_sorbet_type, #to_yaml

Methods included from Internal::Type::Converter

#coerce, coerce, #dump, dump, #inspect, inspect, type_info

Methods included from Internal::Util::SorbetRuntimeSupport

#const_missing, #define_sorbet_constant!, #sorbet_constant_defined?, #to_sorbet_type, to_sorbet_type

Constructor Details

#initialize(grader: , model_sample: , item: nil, request_options: {}) ⇒ Object

Some parameter documentations has been truncated, see OpenAI::Models::FineTuning::Alpha::GraderRunParams for more details.

Parameters:

• grader (OpenAI::Models::Graders::StringCheckGrader, OpenAI::Models::Graders::TextSimilarityGrader, OpenAI::Models::Graders::PythonGrader, OpenAI::Models::Graders::ScoreModelGrader, OpenAI::Models::Graders::MultiGrader) (defaults to: ) —

  The grader used for the fine-tuning job.

• model_sample (String) (defaults to: ) —

  The model sample to be evaluated. This value will be used to populate

• item (Object) (defaults to: nil) —

  The dataset item provided to the grader. This will be used to populate

• request_options (OpenAI::RequestOptions, Hash{Symbol=>Object}) (defaults to: {})

# File 'lib/openai/models/fine_tuning/alpha/grader_run_params.rb', line 36

Instance Attribute Details

#grader ⇒ OpenAI::Models::Graders::StringCheckGrader, ...

The grader used for the fine-tuning job.

Returns:

• (OpenAI::Models::Graders::StringCheckGrader, OpenAI::Models::Graders::TextSimilarityGrader, OpenAI::Models::Graders::PythonGrader, OpenAI::Models::Graders::ScoreModelGrader, OpenAI::Models::Graders::MultiGrader)

# File 'lib/openai/models/fine_tuning/alpha/grader_run_params.rb', line 16

required :grader, union: -> { OpenAI::FineTuning::Alpha::GraderRunParams::Grader }

#item ⇒ Object^?

The dataset item provided to the grader. This will be used to populate the ‘item` namespace. See [the guide](platform.openai.com/docs/guides/graders) for more details.

Returns:

• (Object, nil)

# File 'lib/openai/models/fine_tuning/alpha/grader_run_params.rb', line 34

optional :item, OpenAI::Internal::Type::Unknown

#model_sample ⇒ String

The model sample to be evaluated. This value will be used to populate the ‘sample` namespace. See [the guide](platform.openai.com/docs/guides/graders) for more details. The `output_json` variable will be populated if the model sample is a valid JSON string.

Returns:

• (String)

# File 'lib/openai/models/fine_tuning/alpha/grader_run_params.rb', line 26

required :model_sample, String